In particular, method W 2 have the large MS - stability region.
特别地, 方法W2具有很大的均方稳定区域.
The square voltage was used to describe thermal noise voltage in determination.
热噪声电压通常采用均方值定量描述.
The software will display the SNR, FWHM and RMS values found.
软件将显示它们的信噪比, 点扩展函数和均方差值.
The reason is that the formula of calculating mean square deviation.
研究发现其根本原因是回归分析中均方差计算公式不合适.
Considering intensity and deviation of edge a new technique to correct center and radius was introduced.
利用样点边缘亮度与均方差的特征实现样点中心和半径的校正.
The method focuses on minimizing the ensemble mean square error of the estimation.
该方法可以估计的总体均方误差最小.
The curve approximated by the mean value and standard deviation cyclic strain - life curves of Coffin - Manson law.
基于coffin一Manson定律,将曲线近似表示为均值和均方差循环应变一寿命曲线的形式.
Results The equations of 3 independent variables have statistic signification, their RMSs all less than 5 %.
结果以服务对象满意度、服务手段完好率和职业道德达标率为因变量的3个方程均有统计学意义,均方百分比误差(RMS)均小于5%.
This paper proposes an adaptive blind equalization algorithm for Minimum Mean Squared Error ( MMSE ) .
提出一种估计最小均方误差的 盲均衡 算法.
MFL nondestructive testing of oil pipeline and normalized least mean squared adaptive filter Methods: Were presented.
介绍了输油管道漏磁检测方法及归一化最小均方自适应滤波方法.
Then the superiority of them over the LSE was studied under MSE, GMSE and PC criterion.
并在均方误差 、 广义均方误差及PC准则下研究了它们相对于最小二乘的优良性.
This paper propose a novel alterative step LMS auto - adapted filter algorithm based on mean squared - error estimation.
介绍了一种基于均方误差估计的新变步长LMS自适应滤波算法.
It performs better than widely used mean square error and peak signal to noise ratio.
该方法性能高于常用的均方误差和峰值信噪比图像质量评价方法,且简单有效.
The self - adaptive filter is based on LMS algorithms, which rule is LMS and the method is recursion.
设计的自适应滤波器采用基于最小均方误差准则的LMS算法, 该算法的滤波准则是最小均方误差,采用递推的方法实现.
Firstly, this paper designs a LMS algorithm adaptive filter to solve period noise disturbing.
首先,在抑制噪声干扰方面, 本文设计了一种最小均方(LMS)算法的自适应滤波器,来消除局部放电检测中广泛存在的周期性干扰信号.